mbart50-qg-aap
This model is a fine-tuned version of facebook/mbart-large-50 on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 4.7247
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 64
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2697 | 1.0 | 808 | 6.9853 |
| 4.8922 | 2.0 | 1616 | 6.5133 |
| 3.7029 | 3.0 | 2424 | 5.8360 |
| 2.7608 | 4.0 | 3232 | 5.1594 |
| 2.1148 | 5.0 | 4040 | 4.7247 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
Model tree for tiagoblima/mbart50-qg-aap
Base model
facebook/mbart-large-50